학술논문

Advanced Modeling and Experimental Validation of Complex Nuclear Material Forms of Potential Transportation Concern
Document Type
Conference
Author
Source
Conference: Waste Management 2002 Symposium, Tucson, AZ (US), 02/24/2002--02/28/2002; Other Information: PBD: 25 Feb 2002
Subject
12 MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES ACTINIDES
CHEMICAL REACTIONS
COMPUTERS
CONTAINERS
DESIGN
DESORPTION
KINETICS
PRESSURIZATION
RADIOLYSIS
SIMULATION
STORAGE
VALIDATION
WASTE MANAGEMENT
WATER
Language
English
Abstract
We present here computer modeling efforts to describe the time-dependent pressurization and gas-phase mole fractions inside sealed canisters containing actinide materials packaged with small (0.12 - 0.5 wt. %) amounts of water. The model is run using Chemkin software, and the chemical reaction mechanism includes gas generation due to radiolysis of adsorbed water, interfacial chemical reactions, and adsorption/desorption kinetics of water on PuO2 materials. The ultimate goal is to provide a verifiable computer model that can be used to predict problematic gas generation in storage forms and assure design criteria for short-term storage and transportation of less than well-characterized (with respect to gas generation) material classes. Our initial efforts are intended to assess pressurization and gas-phase mole fractions using well-defined 3013 container test cases. We have modeled gas generation on PuO2 with water loading up to 0.5 wt. %, at 300 and 525 K, for time frames of 3 years. Estimates of the initial H2 generation rates were determined using RadCalc and employed in the Chemkin model to assess time- and coverage-dependent system behavior. Results indicate that canister pressurization due to radiolysis is a relatively slow process, with pressure increases at 300 K of approximately 1.5 atm. for 5000 g of PuO2 packaged with 0.5 wt. % water. At higher temperatures (> 400 K), desorption of water into the gas phase largely dictates pressurization and the gas-phase mole fractions. These modeling efforts provide a predictive capability for potential gas generation behavior that when augmented and validated by surveillance information will provide a technical basis for safe storage and transportation.